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Applied statistics for the social and health sciences

Applied statistics for the social and health sciences (3회 대출)

자료유형
단행본
개인저자
Gordon, Rachel A.
서명 / 저자사항
Applied statistics for the social and health sciences / Rachel A. Gordon.
발행사항
New York, NY :   Routledge,   2012.  
형태사항
xxii, 742 p. : ill. ; 28 cm.
ISBN
9780415875363 (hardback : alk. paper) 9780203135297 (e-book : alk. paper)
서지주기
Includes bibliographical references and index.
일반주제명
Social sciences -- Statistical methods. Public health -- Statistical methods.
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001 000045740965
005 20130226141109
008 130225s2012 nyua b 001 0 eng
010 ▼a 2011040016
020 ▼a 9780415875363 (hardback : alk. paper)
020 ▼a 9780203135297 (e-book : alk. paper)
035 ▼a (KERIS)REF000016530406
040 ▼a DLC ▼c DLC ▼d DLC ▼d 211009
050 0 0 ▼a HA29 ▼b .G685 2012
082 0 0 ▼a 519.5 ▼2 23
084 ▼a 519.5 ▼2 DDCK
090 ▼a 519.5 ▼b G664a
100 1 ▼a Gordon, Rachel A.
245 1 0 ▼a Applied statistics for the social and health sciences / ▼c Rachel A. Gordon.
260 ▼a New York, NY : ▼b Routledge, ▼c 2012.
300 ▼a xxii, 742 p. : ▼b ill. ; ▼c 28 cm.
504 ▼a Includes bibliographical references and index.
650 0 ▼a Social sciences ▼x Statistical methods.
650 0 ▼a Public health ▼x Statistical methods.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고7층/ 청구기호 519.5 G664a 등록번호 111689456 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Part 1: Getting Started  1. Examples of Social Science Research Using Regression Analyses  2. Planning a Quantitative Research Project with Existing Data  3. Basic Features of Statistical Packages and Data Documentation  4. Basics of Writing Batch Programs with Statistical Packages  Part 2: Basic Descriptive and Inferential Statistics  5. Basic Descriptive Statistics  6. Sample, Population and Sampling Distributions  7. Basic Inferential Statistics  Part 3: Ordinary Least Squares Regression  8. Basic Concepts of Bivariate Regression  9. Basic Concepts of Multiple Regression  10. Dummy Variables  11. Interactions  12. Nonlinear Relationships  13. Indirect Effects and Omitted Variable Bias  14. Outliers, Heteroskedasticity, and Multicollinearity  Part 4: The Generalized Linear Model  15. Introduction to the Generalized Linear Model with a Continuous Outcome  16. Dichotomous outcomes  17. Multi-Category Outcomes  Part 5: Wrapping Up  18. Roadmap to Advanced Topics


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